š Hi, Iām Andre and welcome to my newsletter Data Driven VC which is all about becoming a better investor with data and AI.
Upcoming events:
Less than 12 hours left until our DDVC Investor Summit at Bits & Pretzels 2026 - join us in-person or virtually from wherever you are
DDVC x Bits & Pretzels Breakfast in Munich this Wednesday Sept 30
Brought to you by Affinity ā The VC Benchmark Report
What does it actually take to source, network, and close in venture?
Affinity dug into platform activity across nearly 3,000 VC firms to find out. The 2026 Venture Capital Benchmark Report breaks down the activation gap (only 38% of firm relationships turn into intros), exposes where key-person concentration puts deal flow at risk, and lays out quartile benchmarks across every major metric.
Find out how your firm stacks up.
Welcome to another edition of our Sunday āResourcesā stream where we share our most valuable data & resources across four rotating formats:
For 1. and 3., we collaborate with best-in-class partners to ensure you get the highest quality data. For 2. and 4., we leverage our ever-growing product portfolio and share selective snapshots of the most sought-after resources from The Lab.
At the end of this post, you'll find a unique deep dive on āBuilding Products That Investors Actually Useā with Lexi Quirk (MD & Head of Product at 645 Ventures), Christopher Ruiz Chiu (Head of Product & Data at NFX), and Jonas Vetterle (Head of AI & ML at Moonfire).
RESOURCES OVERVIEWš ļø
ā How investors use OpenClaw to automate daily workflows
ā Build an MCP server for investors (with or without coding)
ā 16 VC pitchdecks that convinced LPs to invest
ā List of 312 family offices that actively invest
ā The ultimate VC tech stack overview
ā VC Co-Pilot for deal sourcing
ā Startup graduation rates from one round to the next
ā Top 30 tools for VC investors in 2026
ā Building a single source of truth for investment firms
Access these and more resources like our Slack community, 100+ masterclasses, automation templates, Notion templates, AI copilots, and more via The Lab.
Building Products That Investors Actually Use
I'm excited to share one of the most watched sessions from the Virtual DDVC Summit 2026!
VC tooling has changed quite a bit over the past decade, and even more so with the rapid increase in AI adoption. What used to be a spreadsheet, a Salesforce instance, and a shared inbox has turned into stacks of dozens of specialized tools, in-house AI models, and increasingly, software that firms build themselves because nothing on the market fits the needs of the fund.
We covered that shift in depth in the DDVC Landscape Report 2026, including where the market's headed and which categories are getting commoditized versus where funds still build their own edge.
For this session, we wanted to go deeper with the people actually building these tools inside their own firms: what they built, why, and what it took to get their own partners to actually use it.
Lexi Quirk, MD & Head of Product at 645 Ventures, who oversees the firm's engineering team and splits her time between building and investing.
Christopher Ruiz Chiu, Head of Product at NFX, a former fintech product manager who now leads the firm's internal tooling and data infrastructure.
Jonas Vetterle, Head of AI & ML at Moonfire, who came from a machine learning background and now builds the firm's internal products alongside its investment work.
Watch if you want to learn:
What workflows to start building for and how to actually measure ROI
The one process rule that separates a product from getting adopted or flopping on release
The build versus buy rule funds use to draw the line
The one-sentence security policy for data exposed through an MCP connector
... and a lot more
Hereās the link to the full panel discussionš
Join The Lab at 20% off to access 100+ other AI and automation for VC deep dive recordings from leading investors at Accel, Atomico, Balderton, BlackRock, Index, Lightspeed, and many more.
Stay driven,
Andre
